Strong-tracking self-adaptive-SQKF-based SOC estimation method of emergency lamp battery

An adaptive and strong tracking technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of cumulative error amplification, neural network method is susceptible to interference, and slow dynamic response

Active Publication Date: 2015-11-25
宁波飞拓电器有限公司
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Problems solved by technology

In the ampere-hour integration method, if there is an error between the current measurement and the initial value, the error will be accumulated and magnified; although the open circuit voltage method is simple and easy to implement, the dynamic response is slow; t

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  • Strong-tracking self-adaptive-SQKF-based SOC estimation method of emergency lamp battery
  • Strong-tracking self-adaptive-SQKF-based SOC estimation method of emergency lamp battery
  • Strong-tracking self-adaptive-SQKF-based SOC estimation method of emergency lamp battery

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] Such as figure 2 As shown, an emergency light battery SOC estimation method based on strong tracking adaptive SQKF includes the following steps:

[0037] Step 1 establishes the second-order RC equivalent model of the emergency light battery.

[0038] Such as figure 1 As shown, the second-order RC equivalent model of the emergency light battery includes ideal power supply, ohmic internal resistance R 0 , Electrochemical polarization internal resistance R 1 , concentration polarization internal resistance R 2 , Electrochemical polarization capacitance C 1 , concentration polarization capacitance C 2 . Among them, the positive pole of the ideal power supply is connected to the ohmic internal resistance R 0 one end of the R 0 The other end is connected to the electrochemical polarization internal resistance R 1 one end of the R 1 The othe...

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Abstract

The invention relates to a strong-tracking self-adaptive-square-root-quadrature-Kalman-filter (SQKF)-based state of charge (SOC) estimation method of an emergency lamp battery. The method comprises: establishing a second-order RC equivalent model of an emergency lamp battery; on the basis of the battery equivalent model, establishing a corresponding discrete state space model equation; and carrying out filtering estimation on the SOC value of the battery by the strong-tracking self-adaptive SQKF method. Compared with the existing SOC estimation method under the Kalman filtering framework, the provided method has high estimation precision. Meanwhile, with introduction of a time-varying fading factor and an on-line estimation system noise variance, a filter divergence problem caused by unknown time varying of the noise statistical characteristic during battery system modeling can be effectively suppressed.

Description

technical field [0001] The invention relates to the technical field of lithium batteries, in particular to a method for estimating the SOC of an emergency light battery based on strong tracking adaptive SQKF. Background technique [0002] With the rapid development of my country's economic construction, urban buildings are becoming more and more dense, and the population is relatively concentrated, which increases the danger of fire. Fire emergency lights can guide trapped people to evacuate or launch fire fighting and rescue operations in case of fire, which can greatly reduce the losses caused by fire. The widespread use of emergency lights has objectively caused difficulties in the management of emergency lights, especially in the management of emergency lights batteries. The battery's state of charge (State of Charge, SOC) provides battery usage information and battery life, so accurate estimation of battery SOC is the core and key of battery management. [0003] At pr...

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Application Information

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IPC IPC(8): G01R31/36
Inventor 杜明管冰蕾汤显峰邵岳军
Owner 宁波飞拓电器有限公司
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